1.) Zero covariance or correlation is a sufficient condition for two random variables to be indepen- dent. .) The random variables X₁, X2,..., X are independent if and only if k mX₁, X2X₁ (t1, t2,..., tk): - Σmx, (ti). = i=1 c.) Let X₁ and X₂ be two random variables, then Va₁, a2 € R, Var(a₁ X₁-a2X2) = a Var(X₁) + a2 Var(X₂) - 2a1a2 Cov(X₁, X2).

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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TRUE or FALSE.
TRUE OR FALSE.
a.) Zero covariance or correlation is a sufficient condition for two random variables to be indepen-
dent.
b.) The random variables X₁, X2,..., X are independent if and only if
k
mx₁,x2xX₁ (t₁, t2,..., tk) =
mx, (ti).
i=1
c.) Let X₁ and X2 be two random variables, then Va₁,92 € R,
Var(a₁ X₁-a2X2) = a? Var (X₁) + a2 Var (X₂) - 2a1a2 Cov(X₁, X₂).
Transcribed Image Text:TRUE OR FALSE. a.) Zero covariance or correlation is a sufficient condition for two random variables to be indepen- dent. b.) The random variables X₁, X2,..., X are independent if and only if k mx₁,x2xX₁ (t₁, t2,..., tk) = mx, (ti). i=1 c.) Let X₁ and X2 be two random variables, then Va₁,92 € R, Var(a₁ X₁-a2X2) = a? Var (X₁) + a2 Var (X₂) - 2a1a2 Cov(X₁, X₂).
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